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I 'm an engineer from NXP. I'm very interested in your incredible work.
I'd read your paper "On-Device Training Under 256KB Memory", we want to reproduce your works on our platforms.
but I can't find where to training the quantized model on custom dataset.
I checked the mucnet repo, it only contains the model zoo, I can't find the training scripts
I also checked the once-for-all repo, but it seems not support tiny subnet yet.
BR
Tony
The text was updated successfully, but these errors were encountered:
I 'm an engineer from NXP. I'm very interested in your incredible work. I'd read your paper "On-Device Training Under 256KB Memory", we want to reproduce your works on our platforms. but I can't find where to training the quantized model on custom dataset. I checked the mucnet repo, it only contains the model zoo, I can't find the training scripts I also checked the once-for-all repo, but it seems not support tiny subnet yet.
BR Tony
I also can't find the training code. In the train project, I find the train function in "main.c", it calls "invoke(label)" but "label" is not used in "invoke" function.
Hello
I 'm an engineer from NXP. I'm very interested in your incredible work.
I'd read your paper "On-Device Training Under 256KB Memory", we want to reproduce your works on our platforms.
but I can't find where to training the quantized model on custom dataset.
I checked the mucnet repo, it only contains the model zoo, I can't find the training scripts
I also checked the once-for-all repo, but it seems not support tiny subnet yet.
BR
Tony
The text was updated successfully, but these errors were encountered: